Lee M. Shavel
and most recently Parthenon. Steve has focused on advising leading global carriers and brokers on transforming insurance industry workflows using data and technology including AI, and will be instrumental in advancing our client engagement and building on our active partnership with the industry. Turning our attention to client engagement, we are in constant dialogue with our clients covering strategic and technological issues and over the last year, I have been part of many C-suite conversations with chief underwriting officers, chief risk officers, and chief claims officers to discuss their AI strategies and how they would like to work with Verisk Analytics, Inc. in adapting our data, analytics, and connectivity to their evolving needs. There were two common elements in these conversations. One, how can we continue to enhance the critical data that the industry overwhelmingly trusts us to provide and two, how can we help support practical, safe, and regulatorily approved applications of evolving AI technologies with good ROIs. The unique nature of the insurance industry requires a massive amount of specific and representative data in order to ensure rate adequacy, evaluate claims fairly, promote competition and innovation as well as satisfy the needs of regulators. High quality data is critical for accuracy and effectiveness. And Verisk Analytics, Inc. is in a unique position as one of very few providers who currently aggregate data from multiple sources, organize it, and normalize it, in order to glean insights about risk at a granular level and include that in innovative products and services it files on behalf of our clients. In fact, Verisk Analytics, Inc. submits over 2,000 regulatory product filings each year on behalf of our clients and our government relations teams interact with all 50 state regulators on a daily basis. And it is this data quality, breadth, and organization that is essential to effective AI deployment. We already have the data infrastructure in place, and, in many instances, have AI tools built into associated workflows to enhance carrier accuracy and efficiency. In fact, we currently have more than 35 AI-powered projects and solutions for both internal and external purposes in use today. And we have plans to introduce many more throughout 2026. In order to illustrate this more concretely, I wanted to share one very specific description of our integration of the evolving range of AI technologies into our products, its adoption by our clients, the unique strengths we bring to that process. I recently returned from our Elevate conference in Salt Lake City where we bring together key participants in the claims process including carriers, adjusters, contractors, and other ecosystem technology partners to discuss technology development and adoption for this professional community that is dedicated to helping policyholders recover from damage to their property. At the conference, we unveiled the next generation of our AI-enabled estimating products, ExactGen. This product builds on a progression of AI technology that started with Exact Expert which we launched in 2023. Exact Expert uses rules-based logic and machine learning to assist estimators with identifying discrepancies in their estimates, providing advice on what questions should be asked, and correcting errors based on their employer's established rule set and experience. Exact Expert has been rapidly adopted industry wide including by seven of the top 10 homeowners insurers and now serves tens of thousands of adjusters and estimators. At the conference, a major restoration contractor referred to Exact Expert as, quote, an industry game changer. The rapid adoption of the product relied on trust in our proprietary cost repair data sets that underlies the technology and that estimators rely on for their work, and the common process platform in Xactimate that connects industry professionals. We expanded our offering of advanced technologies in our property estimating solutions in October 2025 with the launch of Exact AI. Exact AI applies generative AI to the production of initial estimates with content input from the Xactware platform. As part of the conference, I hosted a fireside chat with the CEO of one of the leading adjusting firms, shared his excitement about the AI platform, and shared that they are training thousands of their employees on the technology. Again, this solution builds on our established and proprietary datasets as well as the workflows relied upon by carrier claims professionals, independent adjusters, and contractors to smoothly settle and resolve a claim, ultimately benefiting policyholders. And now the addition of ExactGen, are adding agentic AI to handle content gathering from many sources, including aerial imagery providers, policyholder photos, and policy information from the carrier, amongst others, to generate near-complete exterior and interior estimates and facilitate settlement and resolution with the involved parties. Not only does ExactGen benefit from the established network of carriers, contractors, and adjusters, but we are integrating data and content from the broader network of technology providers who we have incorporated into our ecosystem. This reduces the burden of on-site professionals because they are spending less time gathering and waiting for information and more time with the affected insured client, accelerating the pace of recovery. The feedback was enthusiastic about how this could improve efficiency and help reduce resolution times, which have long been challenges for the industry. I could take you through similar examples across our other businesses, but the themes and our competitive advantages would remain the same, namely, one, the critical value of our data sets to AI, two, an established industry process and domain expertise to innovate from, three, the importance of existing connectivity to multiple parties in the ecosystem, and four, the ability to invest in innovation at scale and deliver technology across a large installed base, providing an economic advantage to the client and a stronger return on invested capital. It is these same competitive advantages that we capitalize upon to create growth and value for the insurance industry through prior technology transformations, including digitization, cloud, and SaaS. As our 2025 results demonstrated, our business and economic model are strong, as we crossed the $3 billion mark in revenue and delivered another year of solid growth and profitability, robust free cash flow generation, and strong returns on invested capital. We are well positioned to benefit from AI, drive new innovation, further connect the insurance ecosystem, and deliver growth in line with our long-term growth targets. We are energized by the opportunity that lies ahead and are looking forward to speaking about our plans in more detail at our Investor Day on March 5. I will now turn the call over to Elizabeth. Thanks, Lee.